Skip to content
NEXTMOVEFDE careers · United States

Staff Software Engineer (Applied AI)

AI summary of the role

Staff-level platform engineering role on the founding team at Traba, applying frontier AI models and agents across the staffing marketplace to automate sourcing, vetting, matching, and placement of workers on millions of shifts.

What you’ll do

  • Set the standard for applying agents across the stack to automate the staffing pipeline and for building with AI-assisted tooling.
  • Architect and lead core systems—from real-time matching to autonomous vetting pipelines powered by ML and agents.
  • Own platform architecture, thinking ahead to company needs a year or two out.
  • Drive backend performance, reliability, and scale.

What you’ll bring

  • 7+ years with TypeScript/Node.js or Python, PostgreSQL, and messaging (Kafka or RabbitMQ).
  • Track record of shipping and leading projects at scale with high velocity.
  • Deep full-stack experience with APIs, data modeling, query optimization, and distributed systems.
  • Comfort owning ambiguity and direction in an early-stage environment.

Technologies

TypeScript · Node.js · Python · PostgreSQL · Kafka · RabbitMQ · AI agents · LLM · ML · distributed systems

Source and classification

Internal deployment & tooling · Evidence for this classification:

Traba is building the AI operating system for the industrial supply chain - the network of warehouses, manufacturers, logistics providers, and workers behind the physical goods people rely on every day. We started by tackling labor, supplying industrial businesses with consistent, reliable temporary workforces, and quickly became the fastest growing staffing company in America. Since then, we've expanded our suite of AI agents to help logistics providers, manufacturers, 3PLs, and other industrial businesses fully automate their manual workflows, derive insights from their data streams, and transform their decision intelligence. Our mission is to build a world where the global supply chain operates at peak efficiency. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. You'll build Traba's product on top of
More from the job description

Traba is building the AI operating system for the industrial supply chain - the network of warehouses, manufacturers, logistics providers, and workers behind the physical goods people rely on every day. We started by tackling labor, supplying industrial businesses with consistent, reliable temporary workforces, and quickly became the fastest growing staffing company in America. Since then, we've expanded our suite of AI agents to help logistics providers, manufacturers, 3PLs, and other industrial businesses fully automate their manual workflows, derive insights from their data streams, and transform their decision intelligence. Our mission is to build a world where the global supply chain operates at peak efficiency. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. You'll build Traba's product on top of AI agents—and set the standard for how we do it. You'll put frontier models and existing agents to work across our staffing marketplace to automate the pipeline that sources, vets, matches, and places workers on millions of shifts—and own the core backend services and platform it all runs on. (Our AI Agents team builds the agent platform; you make it real across the stack.) This is a platform-engineering role first, so you'll go where the priorities are: the infrastructure an agent needs one quar [... source excerpt omitted ...] dels and existing agents into real product across the stack—and set the standard for how the team does it. You don't need to own the orchestration internals; you make them real in production, and you know which corners are safe to cut at an early stage. Voracious learner. You move easily from API design to deployment infrastructure. Deep full-stack experience. You've designed performant, scalable applications with real expertise in APIs, data modeling, query optimization, and distributed systems. You Will: Set the standard for how we apply agents across the stack to automate the staffing pipeline—and for how the team builds with AI-assisted tooling. Architect and lead core sys [... source excerpt omitted ...] PostgreSQL, and messaging (Kafka or RabbitMQ). A track record of shipping and leading projects at scale with high velocity. Experience building or integrating AI/LLM systems in production is a plus—what matters most is the judgment to lead the team into it. Comfort owning ambiguity and direction in an early-stage environment. Benefits: 📈 Start-up equity 💰 Competitive Salary 🩺 100% Paid health, dental & vision coverage 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees 🚍 Commuter benefit 🏋🏽 Gympass Benefit ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health Salary Range Details The comp

How jobs are selected

Employer postings · Data from · Sources